Add Praxa to an agent framework - Praxa

Praxa is composable with an existing agent stack. Add only the contract you need: governed tools through MCP, executable helpers through the SDK, or read-only recall through memory federation.

Framework paths

Framework	Best starting point	Preserved authority
Vercel AI SDK	ToolLoopAgent tutorial	Host model loop plus Praxa server policy
OpenAI Agents	OpenAI Agents tutorial	Remote MCP and session memory remain separate
LangGraph	LangGraph tutorial	Long-term store adapted; checkpoints excluded
Any MCP host	MCP host integration	Stable wire names, schemas, annotations, and scopes
Custom memory system	Memory SDK guide	Caller-owned clients and namespace resolution

Migration strategy

Start with federation. Keep provider-owned memory in place, add a read-only adapter, test two-tenant and two-subject isolation, and compare results. Move data only if a later product requirement justifies migration and deletion is covered end to end.

A model can request a tool, but it cannot grant itself scope, choose the tenant, approve a consequential action, or declare an effect verified.

Last modified on August 14, 2026